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Researcher · Washington University in St. Louis · United States

Jean-Pierre Leduc

Jean-Pierre Leduc publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, on topics such as Image and Signal Denoising Methods, Advanced Vision and Imaging and Mathematical Analysis and Transform Methods.

OpenAlex
World rank
#6,013,050
of 7,710,434 ranked researchers
Rank in United States
#1,463,652
of 1,627,098
Works
52
Citations
464
Citations per work
8.9
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Jean-Pierre Leduc

What does Jean-Pierre Leduc research?

Jean-Pierre Leduc's work is mostly in Computer Science (49%), Engineering (13%), Mathematics (7%).

Physical Sciences: 36 works · 68.9% of their workComputer Science: 25 works · 49.0% of their workComputer Vision and Pattern Recognition: 18 works · 35.1% of their workSignal Processing: 4 works · 7.3% of their workComputer Networks and Communications: 3 works · 6.6% of their workEngineering: 7 works · 12.6% of their workElectrical and Electronic Engineering: 4 works · 7.3% of their workMedia Technology: 3 works · 5.3% of their workMathematics: 4 works · 7.3% of their workApplied Mathematics: 4 works · 7.3% of their workEverything else: 16 works · 31.1% of their workTHEIR WORKJean-Pierre Leduc52works
Physical Sciences69%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science2549.0%
    2. Engineering712.6%
    3. Mathematics47.3%
  2. Everything else1631.1%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Signal Processing7% of their works
  3. 3Electrical and Electronic Engineering7% of their works
  4. 4Applied Mathematics7% of their works
  5. 5Computer Networks and Communications7% of their works
  6. 6Media Technology5% of their works

Research topics

Which keywords describe Jean-Pierre Leduc's research?

The keywords of their largest research topics: Deep Learning, Hyperspectral Imaging, Wavelet Transform, Image Denoising, Sparse Representations, Convolutional Networks, Depth Estimation and Stereo Vision.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 21 words, with their numbers
  1. Deep Learning383 topics
  2. Hyperspectral Imaging342 topics
  3. Wavelet Transform332 topics
  4. Image Denoising281 topic
  5. Sparse Representations281 topic
  6. Convolutional Networks162 topics
  7. Depth Estimation121 topic
  8. Stereo Vision121 topic
  9. Frames101 topic
  10. Wavelets101 topic
  11. Sparse Representation92 topics
  12. JPEG200061 topic
  13. Pore Structure61 topic
  14. Shale Gas61 topic
  15. Wavelet Compression61 topic
  16. Image Fusion51 topic
  17. Multispectral51 topic
  18. Nonlinear Estimation51 topic
  19. Particle Filters51 topic
  20. Image41 topic
  21. Super-Resolution41 topic

Where does Jean-Pierre Leduc work?

Jean-Pierre Leduc's main affiliation in the publication record is Washington University in St. Louis, United States.

How many publications and citations does Jean-Pierre Leduc have?

OpenAlex counts 52 works and 464 citations for Jean-Pierre Leduc, an h-index of 11, ranking #6,013,050 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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